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"cells": [
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Retrying langchain.llms.openai.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised APIConnectionError: Error communicating with OpenAI: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')).\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I need to find out more information about maxwells equations\n",
"Action: Search\n",
"Action Input: maxwells equations\u001b[0m"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"1 extra bytes in post.stringData array\n",
"'created' timestamp seems very low; regarding as unix timestamp\n"
]
},
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"name": "stdout",
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"text": [
"\n",
"Observation: \u001b[36;1m\u001b[1;3m \n",
"From Wikipedia, the free encyclopedia\n",
"Maxwell's equations , or Maxwell–Heaviside equations , are a set of coupled\n",
"partial differential equations that, together with the Lorentz force law, form the\n",
"foundation of classical electromagnetism , classical optics , and electric circuits . The\n",
"equations provide a mathematical model for electric, optical, and radio technologies,\n",
"such as power generation, electric motors, wireless communication, lenses, radar etc.\n",
"They describe how electric and magnetic fields are generated by charges , currents , and\n",
"changes of the fields.[note 1] The equations are named after the physicist and\n",
"mathematician James Clerk Maxwell , who, in 1861 and 1862, published an early form of\n",
"the equations that included the Lorentz force law. Maxwell first used the equations to\n",
"propose that light is an electromagnetic phenomenon. The modern form of the\n",
"equations in their most common formulation is credited to Oliver Heaviside .[1] \n",
"Maxwell's equations may be combined to demonstrate how fluctuations in\n",
"electromagnetic fields (waves) propagate at a constant speed in vacuum, c\n",
"(299 792 458 m/s ).[2] Known as electromagnetic radiation , these waves occur at various\n",
"wavelengths to produce a spectrum of radiation from radio waves to gamma rays . \n",
"The equations have two major variants. The microscopic equations have universal\n",
"applicability but are unwieldy for common calculations. They relate the electric and\n",
"magnetic fields to total charge and total current, including the complicated charges and\n",
"currents in materials at the atomic scale . The macroscopic equations define two new\n",
"auxiliary fields that describe the large-scale behaviour of matter without having to\n",
"consider atomic-scale charges and quantum phenomena like spins. However, their use\n",
"requires experimentally determined parameters for a phenomenological description of\n",
"the electromagnetic response of materi\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Maxwell's equations are a set of coupled partial differential equations that, together with the Lorentz force law, form the foundation of classical electromagnetism, classical optics, and electric circuits. They describe how electric and magnetic fields are generated by charges, currents, and changes of the fields, and how fluctuations in electromagnetic fields (waves) propagate at a constant speed in vacuum.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"\"Maxwell's equations are a set of coupled partial differential equations that, together with the Lorentz force law, form the foundation of classical electromagnetism, classical optics, and electric circuits. They describe how electric and magnetic fields are generated by charges, currents, and changes of the fields, and how fluctuations in electromagnetic fields (waves) propagate at a constant speed in vacuum.\""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"\n",
"def openaiKey():\n",
" with open(\"../../key.txt\") as f:\n",
" return f.read().strip(\"\\n\")\n",
" \n",
"def serpKey():\n",
" with open(\"../../serpkey.txt\") as f:\n",
" return f.read().strip(\"\\n\") \n",
"\n",
"# -----------------------------------------------------\n",
" \n",
"from langchain.utilities import GoogleSerperAPIWrapper\n",
"from langchain.llms.openai import OpenAI\n",
"from langchain.agents import AgentType, initialize_agent, Tool\n",
"\n",
"from weasyprint import HTML\n",
"from PyPDF2 import PdfReader\n",
"\n",
"import openai\n",
"import re\n",
"openai.api_key = openaiKey() \n",
"\n",
"search = GoogleSerperAPIWrapper(serper_api_key=serpKey())\n",
"\n",
"def wrappedSearch(query: str) -> str:\n",
" # get top google results for the query\n",
" queryResults = search.results(query)\n",
"\n",
" # build a text summary of the results\n",
" summaries = \"\"\n",
" for i, result in enumerate(queryResults[\"organic\"]):\n",
" summaries += \"{}.\\n\\t{}\\n\\t{}\\n\\t{}\\n\".format(i, result[\"title\"], result[\"snippet\"], result[\"link\"])\n",
"\n",
" # choose one of the provided search results\n",
" complete = openai.Completion.create(\n",
" model=\"text-davinci-003\",\n",
" prompt=\"Which of the following websites is most relevant to the prompt '{}'? (provide the number only):\\n{}\".format(query, summaries)\n",
" )\n",
" idx = int(re.search(r\"(\\d)\", complete[\"choices\"][0][\"text\"]).group(1))\n",
" link = queryResults[\"organic\"][idx][\"link\"]\n",
"\n",
" # parse website text\n",
" # TODO: do something that isn't absurdly inefficient here:\n",
" HTML(link).write_pdf('./out.pdf')\n",
" reader = PdfReader('./out.pdf')\n",
" content = \"\"\n",
" for page in reader.pages:\n",
" content += page.extract_text()\n",
"\n",
" # return website contents\n",
" # TODO: handle limited query size\n",
" return content[:2000]\n",
"\n",
"\n",
"llm = OpenAI(temperature=0, openai_api_key=openaiKey())\n",
"\n",
"tools = [\n",
" Tool.from_function(\n",
" func=wrappedSearch,\n",
" name = \"Search\",\n",
" description=\"useful for when you need to answer questions about current events or facts. Get the full contents of the top search result from the web\"\n",
" ),\n",
"]\n",
"\n",
"agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)\n",
"agent.run(\"tell me about maxwells equations\")\n"
]
}
],
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"language": "python",
"name": "python3"
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"name": "ipython",
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